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Tech Talk: Decoding AI - A Deep Dive into Large Language Models (Free)

Tech Lab series of public talks on a variety of topics.

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Tech Talk: Decoding AI - A Deep Dive into Large Language Models (Free)

Tech Talk: Decoding AI - A Deep Dive into Large Language Models (Free)

Tech Lab series of public talks on a variety of topics.

Pricing
Tuition Assistance and Policies
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Registrations Closed

About

In this free tech talk, the instructor will give an introduction to Large Language Models (LLM) used in applications like ChatGPT. The following topics will be covered:

  • What is an LLM?
  • Very brief overview of Transformer architecture/GPT
  • How LLMs are trained/fine tuned
  • Hardware requirements
  • Closed source tools
  • LLM Agents
  • Quantization

Come join the discussion!

Class Policies

  • Free, but please register.
  • Ages 14 and up are welcome.
Instructor
Kevin Rohling

Kevin Rohling is an AI engineer, researcher, and consultant focused on building practical AI systems that people actually use. He is a visiting researcher at UT Austin and earned his Master’s degree in Artificial Intelligence in December 2025. Kevin was previously Head of AI at Presence, where he led applied AI work across products and teams, and today he runs Conifer Labs, his independent consulting practice, partnering with companies to design and ship production AI systems. He is also a co-author of the paper “Factored Latent Action World Models,” which explores new approaches to scalable world modeling and embodied AI.

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